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» Text Mining at the Term Level
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CIKM
2008
Springer
15 years 1 months ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...
BMCBI
2005
155views more  BMCBI 2005»
14 years 11 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
CORR
2010
Springer
110views Education» more  CORR 2010»
14 years 11 months ago
Improving Term Extraction Using Particle Swarm Optimization Techniques
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
Mohammad Syafrullah, Naomie Salim
INFORMATION
2011
72views more  INFORMATION 2011»
14 years 3 months ago
Distribution of "Characteristic" Terms in MEDLINE Literatures
: Given the occurrence frequency of any term within any set of articles within MEDLINE, we define ―characteristic‖ terms as words and phrases that occur in that literature more...
Neil R. Smalheiser, Wei Zhou, Vetle I. Torvik
CIKM
2010
Springer
14 years 9 months ago
Discovery of numerous specific topics via term co-occurrence analysis
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
Omid Madani, Jiye Yu